Semantic Interoperability for 3D Virtual Commissioning Applications
Zhao, J. (2025). Semantic interoperability for 3D virtual commissioning applications. Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
An extension of the Core Manufacturing Simulation Data standard to enhance the interoperability for discrete event simulation
Zhao, J., Aghezzaf, E. H., & Cottyn, J. (2024). An extension of the Core Manufacturing Simulation Data standard to enhance the interoperability for discrete event simulation. Procedia CIRP, 130, 1632-1637.
Interoperability performance evaluation for discrete event simulation models: A step towards multi-level data exchange
Zhao, J., Aghezzaf, E. H., & Cottyn, J. (2024). Interoperability performance evaluation for discrete event simulation models: A step towards multi-level data exchange. Procedia CIRP, 128, 72-77.
An AutomationML extension towards interoperability of 3D virtual commissioning software applications
Zhao, J., Aghezzaf, E. H., & Cottyn, J. (2024). An AutomationML extension towards interoperability of 3D virtual commissioning software applications. International Journal of Computer Integrated Manufacturing, 37(10-11), 1194-1213.
A framework for evaluating a generic virtual commissioning data model
Zhao, J., Aghezzaf, E. H., & Cottyn, J. (2023). A framework for evaluating a generic virtual commissioning data model. Procedia CIRP, 119, 284-289.
AutomationML in industry 4.0 environment : a systematic literature review
Zhao, J., Schamp, M., Hoedt, S., Aghezzaf, E. H., & Cottyn, J. (2021). AutomationML in industry 4.0 environment: A systematic literature review. In Advances in Automotive Production Technology–Theory and Application: Stuttgart Conference on Automotive Production (SCAP2020) (pp. 162-169). Springer Berlin Heidelberg.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Teaching
Service and leadership
- Currently signed in to 43 different slack teams